Forward Deployed Engineer (AI/ML)

About Hero Vired:

Would you like to be part of an exciting, innovative, and high-growth startup from one of the largest and most well-respected business houses in the country - the Hero Group?

Hero Viredis a premium learningexperience offering industry-relevant programs and world-class partnerships, to create the change-makers of tomorrow.

At Hero Vired, webelieve everyone is made of big things.With the experience, knowledge, and expertise of the Hero Group, Hero Vired is on a mission to change the way we learn. Hero Vired aims to give learners the knowledge, skills, and expertise throughdeeply engaged and holistic experiences, closely mapped with industry to empower them to transform their aspirations into reality. The focus will be on disrupting and reimagining university education & skilling for working professionals by offering high-impact online certification and degree programs.

The illustrious and renowned US$5 billion diversified Hero Group is a conglomerate of Indian companies with primary interests and operations in automotive manufacturing, financing, renewable energy, electronics manufacturing, and education. The Hero Group (BML Munjal family) companies include Hero MotoCorp, Hero FinCorp, Hero Future Energies, Rockman Industries, Hero Electronix, Hero Mindmine, and the BML Munjal University.

For detailedinformation, visit Hero Vired

Role: Forward Deployed Engineer(AI/ML)

Experience: 3 to 6 years

Location: Gurugram Sector 42

Employment Type: Full-Time

Department : Technology

About the Role

At Hero Vired, we are building AI-powered learning experiences that redefine higher education and professional upskilling. We are looking for a highly motivated Forward Deployed Engineer (AI/ML) who can work at the intersection of AI, engineering, and business to design, deploy, and scale AI-driven solutions across our products and internal business functions.

As a Forward Deployed Engineer, you will collaborate closely with Product Managers, Engineering, Data Science, and business stakeholders to understand real-world challenges, rapidly prototype AI solutions, and deploy production-ready applications using modern AI and Machine Learning technologies. This role requires a combination of strong software engineering skills, practical experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and the ability to translate business requirements into scalable AI solutions.

Responsibilities

• Embed with customers to design, build, and deploy voice AI and search solutions end to end.
• Scope customer use cases — gather requirements, map their data and systems, and define success metrics.
• Build and deploy voice AI solutions (conversational agents, STT/TTS/telephony pipelines, real-time streaming), and tune them for latency and quality.
• Design and implement search and retrieval systems (RAG, semantic and hybrid search, re rankers) over customer data and knowledge bases.
• Own end-to-end delivery: prototype, integrate, deploy, tune, and hand off.
• Integrate solutions with customer systems (CRMs, telephony, databases, APIs, and webhooks).
• Debug and optimize deployments in production (latency, accuracy, reliability, and cost).
• Run POCs and pilots, and iterate rapidly on customer feedback.
• Serve as the technical point of contact and translate business needs into technical solutions.
• Feed field learnings back into the core product and build reusable tooling from recurring patterns.
• Onboard and train customer teams on the deployed solutions.

Requirements

• Strong hands-on software engineering experience (Python and/or Node.js / TypeScript).
• Hands-on experience with voice AI — speech-to-text, text-to-speech, real-time / streaming audio, telephony, and latency optimization.
• Experience building search and retrieval systems — embeddings, vector search, RAG, re rankers, and hybrid (semantic + keyword) search.
• Experience with LLM application development — prompt engineering, tool / function calling, and agent orchestration.
• Proficiency in REST APIs / GraphQL, and integrating third-party systems (webhooks, data pipelines).
• Experience with databases (SQL and NoSQL).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and debugging in production.
• Solid understanding of system design and architecture.
• Strong problem-solving and debugging skills.

Leadership and Soft Skills

• Excellent communication and stakeholder management — able to run technical conversations with both engineers and business owners.
• Strong customer-facing presence, with the ability to build trust and manage expectations.
• Ownership mindset with a bias for shipping and end-to-end delivery.
• Comfort with ambiguity, rapid iteration, and adapting to each customer's context.

Preferred Qualifications

• Prior experience as a Forward Deployed Engineer, solutions engineer, or in implementation / delivery / sales engineering.
• Familiarity with agent orchestration frameworks (LangGraph, CrewAI, Temporal, Google ADK, or AG2).
• Familiarity with vector databases and search infrastructure (Qdrant, Pinecone, Weaviate, Elasticsearch / OpenSearch).
• Exposure to voice / telephony platforms (Deepgram, ElevenLabs, Telnyx, or similar).
• Indic / multilingual (Hindi / Hinglish) voice or search experience.
• Domain background in sales-tech, EdTech, or conversational AI.
• Experience turning customer deployments into reusable frameworks and tooling.
• Prior experience in Agile / Scrum environments.
• Open-source contributions or technical blogging.